{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from __future__ import print_function\n",
    "\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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3Ttf18n71XC9/lqRpSpbpQFhLpoNlHZce0n6TgT/AL3QSGYcoiTGJXJ+lEOtaDOOEbk/6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LAAAg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niExJ7ZbIKY14rRueOXy63BIWdEvvb1P4blNffCC8/ilecJiRslCd7m7NTLV64hZbfg7SRF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\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5BfWGEbC9ZxJxXv/eTWySRuCTyxHyfPHafGCsEjSti/KCOTd73bWXpqljjPO8qkOXlyXG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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7feaa81dda50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Ojo+PAZicnKTb7bK3t8fe3h5msxmTycSTJ09kH7jdbnK5HKenp4JqpdNpTCYTZ2dnmM1m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\n0larFZlMRnl1JISbTCZdL7ro3G63CjCOAhmOHg6HxXUjtd7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a2qrij2NBjhs55qyoqEBe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\nY0ySJKmh3xR7c3/jSdt/AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7feaa823e2d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Inline Question #1:** Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Your Answer**: *fill this in.*\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 139 / 500 correct => accuracy: 0.278000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('Difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 31.719356 seconds\n",
      "One loop version took 49.969703 seconds\n",
      "No loop version took 0.195286 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# you should see significantly faster performance with the fully vectorized implementation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.239000\n",
      "k = 3, accuracy = 0.249000\n",
      "k = 3, accuracy = 0.240000\n",
      "k = 3, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.254000\n",
      "k = 5, accuracy = 0.248000\n",
      "k = 5, accuracy = 0.266000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 5, accuracy = 0.292000\n",
      "k = 5, accuracy = 0.280000\n",
      "k = 8, accuracy = 0.262000\n",
      "k = 8, accuracy = 0.282000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 8, accuracy = 0.273000\n",
      "k = 10, accuracy = 0.265000\n",
      "k = 10, accuracy = 0.296000\n",
      "k = 10, accuracy = 0.276000\n",
      "k = 10, accuracy = 0.284000\n",
      "k = 10, accuracy = 0.280000\n",
      "k = 12, accuracy = 0.260000\n",
      "k = 12, accuracy = 0.295000\n",
      "k = 12, accuracy = 0.279000\n",
      "k = 12, accuracy = 0.283000\n",
      "k = 12, accuracy = 0.280000\n",
      "k = 15, accuracy = 0.252000\n",
      "k = 15, accuracy = 0.289000\n",
      "k = 15, accuracy = 0.278000\n",
      "k = 15, accuracy = 0.282000\n",
      "k = 15, accuracy = 0.274000\n",
      "k = 20, accuracy = 0.270000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.279000\n",
      "k = 20, accuracy = 0.282000\n",
      "k = 20, accuracy = 0.285000\n",
      "k = 50, accuracy = 0.271000\n",
      "k = 50, accuracy = 0.288000\n",
      "k = 50, accuracy = 0.278000\n",
      "k = 50, accuracy = 0.269000\n",
      "k = 50, accuracy = 0.266000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.270000\n",
      "k = 100, accuracy = 0.263000\n",
      "k = 100, accuracy = 0.256000\n",
      "k = 100, accuracy = 0.263000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "X_train_folds = np.array(np.array_split(X_train,num_folds))\n",
    "y_train_folds = np.array(np.array_split(y_train,num_folds))\n",
    "# print (type(X_train_folds))\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "for k in k_choices:\n",
    "    for i in xrange(num_folds):\n",
    "        combinat = [x for x in xrange(num_folds) if x != i]\n",
    "        X_train_dat = np.concatenate(X_train_folds[combinat])\n",
    "        y_train_dat = np.concatenate(y_train_folds[combinat])\n",
    "        classifier = KNearestNeighbor()\n",
    "        classifier.train(X_train_dat,y_train_dat)\n",
    "        dists = classifier.compute_distances_no_loops(X_train_folds[i])\n",
    "        y_val_predict = classifier.predict_labels(dists,k)\n",
    "        val_accuracy = np.mean(y_val_predict == y_train_folds[i])\n",
    "        k_to_accuracies.setdefault(k, []).append(val_accuracy)\n",
    "################################################################################\n",
    "#                                 END OF YOUR CODE                             #\n",
    "################################################################################\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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TFhISwvTp0/1UkYiISPfQBAPpEZonEWg2qIiI9DUKa73cxmXl7PqykqZGyzO/+Zgps7IZ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\nUoEZ1iRJkgrMsCZJklRghjVJkqQC+/+xli0DRqlchAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe96a6a1f50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 141 / 500 correct => accuracy: 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 10\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
